Introduction to Machine Learning Australian National University Who Are We? (郑良) Course convener Senior Lecturer School of Computing Office: N214, CSIT Building http://zheng-lab.cecs.anu.edu.au/ Tutors Nutthadech Li Shi Sun Ruiqi Li Alexander La Nikunj Li Dian Lu Qingzheng Are you? Undergraduate students Postgraduate students Graduate certificate students Lectures • 1:30pm – 3:00 Tuesday • 3:00pm – […]
Name: SUID: AA228/CS238: Decision Making under Uncertainty Autumn 2020 Prof. Mykel J. Kochenderfer • Remote • email: MIDTERM 1 Due date: October 2, 2020 (5pm) You have 90 minutes to complete this exam. This exam is electronically timed; you do not have to keep track of your own time. To accommodate those in other timezones
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AA228/CS238: Decision Making under Uncertainty Autumn 2016 Prof. Mykel J. Kochenderfer • Durand 255 • email: aa228-aut1617- .edu MIDTERM 1 Due date: October 12 You have 60 minutes to complete this exam. You may use one page of notes (front and back) but no other resources. Each question part (a) and (b) are independent of
AA228/CS238: Decision Making under Uncertainty Autumn 2017 Prof. Mykel J. Kochenderfer • Durand 255 • email: MIDTERM 1 Due date: October 11 You have 60 minutes to complete this exam. You may use one page of notes (front and back) but no other resources. All questions are weighted equally. Question 1. Suppose we have a
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Name: SUID: AA228/CS238: Decision Making under Uncertainty Autumn 2019 Prof. Mykel J. Kochenderfer • Durand 255 • email: MIDTERM 1 Due date: October 15 You have 60 minutes to complete this exam. You may use one page of notes (front and back) but no other resources. All questions are weighted equally. All answers should be
CS计算机代考程序代写 Bayesian Bayesian network Name: SUID: Read More »
COMP3702 Artificial Intelligence – Module 0: Introduction Welcome to COMP3702 Artificial Intelligence! Artificial Intelligence 1 A little about Alina Name: Alina Bialkowski Email: alina. .au Teaching: I have taught artificial intelligence, signal processing, electrical engineering & computer science courses Research: Machine Learning; Computer Vision; Data Science; Interpretable/Explainable AI Applications: Medical imaging, semi-autonomous vehicles, sports analytics,
CMPSC442-Wk8-Mtg24 Bayesian Inference AIMA 13.3-13.5 CMPSC 442 Week 8, Meeting 24, Three Segments Outline ● Exact Inference in Bayesian Networks ● Approximate Inference for Bayesian Networks ● Causal Networks 2Outline, Wk 8, Mtg 24 Bayesian Inference AIMA 13.3-13.5 CMPSC 442 Week 8, Meeting 24, Segment 1 of 3: Exact Inference in Bayesian Networks General Motivation
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Decision Theoretic Agents AIMA 16 CMPSC 442 Week 10, Meeting 30, Three Segments Outline ● Utility Functions ● Decision Networks ● Information Value Theory 2Outline, Wk 10, Mtg 30 Decision Theoretic Agents AIMA 16 CMPSC 442 Week 10, Meeting 30, Segment 1 of 3: Utility Functions Conceptual Basis for Decision Theoretic Agent ● Ability to
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CMPSC442-Wk9-Mtg25 Markov Processes and Models AIMA 14.1-14.2 CMPSC 442 Week 9, Meeting 25, Three Segments Outline ● Markov Assumption ● Types of Inference Tasks ● Filtering, aka, Likelihood 2Outline, Wk 9, Mtg 25 Markov Processes and Models AIMA 14.1-14.2 CMPSC 442 Week 9, Meeting 25, Segment 1 of 3: Markov Assumption Handling Uncertainty over Time
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Bayesian Networks AIMA 13.1-13.2 CMPSC 442 Week 8, Meeting 23, 3 Segments Outline ● Syntax and Semantics of Bayesian Networks ● Conditional Probability Tables in a Bayesian Network ● More on Bayesian Networks 2Outline, Wk 8, Mtg 23 Bayesian Networks AIMA 13.1-13.2 CMPSC 442 Week 8, Meeting 23, Segment 1 of 3: Syntax and Semantics